modelId stringlengths 9 107 | author stringlengths 3 37 | last_modified timestamp[us, tz=UTC]date 2021-03-22 21:11:33 2026-05-04 17:37:22 | downloads int64 100 72.3M | likes int64 1 4.99k | library_name stringclasses 132
values | tags listlengths 2 2.16k | pipeline_tag stringclasses 52
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-03 03:15:09 | card stringlengths 1.51k 391k | entities listlengths 0 18 |
|---|---|---|---|---|---|---|---|---|---|---|
microsoft/Phi-4-multimodal-instruct-onnx | microsoft | 2026-02-11T00:10:08Z | 146 | 90 | null | [
"onnx",
"nlp",
"code",
"audio",
"automatic-speech-recognition",
"speech-summarization",
"speech-translation",
"visual-question-answering",
"phi-4-multimodal",
"phi",
"phi-4-mini",
"multilingual",
"license:mit",
"region:us"
] | automatic-speech-recognition | 2025-02-25T05:57:33Z | ## Phi-4 Multimodal Instruct ONNX models
### Introduction
This is an ONNX version of the Phi-4 multimodal model that is quantized to int4 precision to accelerate inference with ONNX Runtime.
## Model Run
For CPU: stay tuned or follow [this tutorial](https://github.com/microsoft/onnxruntime-genai/blob/main/examples/p... | [] |
weathermanj/NVIDIA-Nemotron-Nano-9B-v2-gguf | weathermanj | 2025-08-29T00:20:12Z | 275 | 1 | llama.cpp | [
"llama.cpp",
"gguf",
"nemotron_h",
"text-generation",
"quantized",
"nvidia",
"nemotron",
"mamba2",
"transformer",
"en",
"base_model:nvidia/NVIDIA-Nemotron-Nano-9B-v2",
"base_model:quantized:nvidia/NVIDIA-Nemotron-Nano-9B-v2",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-28T19:28:08Z | # NVIDIA-Nemotron-Nano-9B-v2-gguf
GGUF quantizations of NVIDIA’s [NVIDIA-Nemotron-Nano-9B-v2](https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2). These files target llama.cpp-compatible runtimes.
## Available Models
| Model | Size | Bits/Weight | Description |
|-------|------|-------------|-------------|
| `N... | [] |
mradermacher/Mars-27B-V.1-heretic-v1.2-i1-GGUF | mradermacher | 2026-03-09T11:38:29Z | 3,548 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mpoa",
"en",
"base_model:grayarea/Mars-27B-V.1-heretic-v1.2",
"base_model:quantized:grayarea/Mars-27B-V.1-heretic-v1.2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-09T09:28:22Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/DARE-TIES-Qwen2.5-Coder-Karasu-0.0-i1-GGUF | mradermacher | 2025-12-06T03:49:43Z | 504 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:noirchan/DARE-TIES-Qwen2.5-Coder-Karasu-0.0",
"base_model:quantized:noirchan/DARE-TIES-Qwen2.5-Coder-Karasu-0.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-27T12:34:40Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 464,
"end": 498,
"text": "DARE-TIES-Qwen2.5-Coder-Karasu-0.0",
"label": "benchmark name",
"score": 0.6179738640785217
},
{
"start": 635,
"end": 677,
"text": "DARE-TIES-Qwen2.5-Coder-Karasu-0.0-i1-GGUF",
"label": "benchmark name",
"score": 0.6450433135032654
}... |
lmstudio-community/Magistral-Small-2509-MLX-8bit | lmstudio-community | 2025-09-17T22:15:46Z | 39,201 | 1 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"mlx",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"base_model:mistralai/Magistral-Small-2509",
"base_m... | null | 2025-09-17T22:15:03Z | ## 💫 Community Model> Magistral-Small-2509 by mistralai
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [mistralai](https://huggingface.co/mistralai)... | [] |
mradermacher/gemma-3-4b-it-heretic-uncensored-abliterated-balanced-i1-GGUF | mradermacher | 2025-12-05T23:10:20Z | 157 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-balanced",
"base_model:quantized:DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-balanced",
"endpoints_compatible",
"region:us",... | null | 2025-11-23T21:49:06Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
openbmb/VoxCPM-0.5B | openbmb | 2025-09-19T10:48:31Z | 587 | 767 | voxcpm | [
"voxcpm",
"pytorch",
"text-to-speech",
"speech",
"speech generation",
"voice cloning",
"en",
"zh",
"base_model:openbmb/MiniCPM4-0.5B",
"base_model:finetune:openbmb/MiniCPM4-0.5B",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2025-09-16T06:56:48Z | ## 🎙️ VoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
[](https://github.com/OpenBMB/VoxCPM/) [](https://huggi... | [] |
froggeric/Qwen3.6-27B-MLX-8bit | froggeric | 2026-05-01T09:31:03Z | 955 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"mlx-lm",
"mlx-vlm",
"qwen3.6",
"conversational",
"vision",
"multimodal",
"image-text-to-text",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"8-bit",
"region:us"
] | image-text-to-text | 2026-04-22T15:22:23Z | <p align="center">
<strong>Qwen3.6-27B</strong><br>
MLX 8-bit · Text + Vision + Thinking + Tool Calling<br>
<em>Apple Silicon native</em>
</p>
---
## What's this?
Qwen3.6-27B is a 27B-parameter dense model from Alibaba. It uses a hybrid linear/full attention architecture (3:1 ratio across 64 layers) tha... | [] |
Heralax/philosophy-mistral | Heralax | 2024-09-19T23:00:02Z | 1,067 | 14 | transformers | [
"transformers",
"pytorch",
"gguf",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-09-19T21:29:42Z | # Philosophy LLM
I would've trained this on Phi so I could've called it Phi-losophy if I had thought of that joke before kicking off the run. Oh well.
It's trained on Mistral instead. That's a Mist opportunity right there.
This is a narrow domain-expert LLM trained on the top 5 books on Gutenberg:
- The Problems of ... | [] |
QuantFactory/Qwen2.5-7B-Instruct-GGUF | QuantFactory | 2024-09-19T02:33:21Z | 450 | 4 | null | [
"gguf",
"chat",
"text-generation",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-7B",
"base_model:quantized:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-19T01:52:30Z | ---
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-7B
tags:
- chat
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2Z... | [] |
zai-org/GLM-4.5-Air | zai-org | 2025-08-11T13:25:37Z | 382,719 | 590 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-07-20T03:25:55Z | # GLM-4.5-Air
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
</div>
<p align="center">
👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
<br>
📖 Check out the GLM-4.5 <a href="https://... | [] |
pyannoteAI/faster-whisper-large-v3-turbo | pyannoteAI | 2026-03-10T13:09:33Z | 3,766 | 2 | null | [
"license:mit",
"region:eu"
] | null | 2026-01-07T20:09:03Z | **Note:** this model is a copy of [dropbox-dash/faster-whisper-large-v3-turbo](https://huggingface.co/dropbox-dash/faster-whisper-large-v3-turbo) and is not a product of pyannoteAI. Please refer to the original version for support.
# Whisper large-v3 turbo model for CTranslate2
This repository contains the conversion... | [] |
MuXodious/Mistral-Small-3.2-24B-Instruct-2506-absolute-heresy | MuXodious | 2026-02-16T16:51:18Z | 136 | 3 | vllm | [
"vllm",
"safetensors",
"mistral3",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"conversational",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"... | image-text-to-text | 2026-02-15T22:29:31Z | This is a **Mistral-Small-3.2-24B-Instruct-2506** fine-tune, produced through P-E-W's [Heretic](https://github.com/p-e-w/heretic) (v1.2.0) abliteration engine with [Magnitude-Preserving Orthogonal Ablation](https://github.com/p-e-w/heretic/pull/52) enabled.
**Note:** An optimal KLD/Refusal ratio was preferred.
---
<i... | [] |
zai-org/GLM-Z1-Rumination-32B-0414 | zai-org | 2025-04-15T08:27:35Z | 176 | 117 | transformers | [
"transformers",
"safetensors",
"glm4",
"text-generation",
"conversational",
"zh",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-13T12:06:04Z | # GLM-4-Z1-Rumination-32B-0414
## Introduction
The GLM family welcomes a new generation of open-source models, the **GLM-4-32B-0414** series, featuring 32 billion parameters. Its performance is comparable to OpenAI's GPT series and DeepSeek's V3/R1 series, and it supports very user-friendly local deployment featu... | [
{
"start": 123,
"end": 137,
"text": "GLM-4-32B-0414",
"label": "benchmark name",
"score": 0.6457223892211914
},
{
"start": 1066,
"end": 1082,
"text": "DeepSeek-V3-0324",
"label": "benchmark name",
"score": 0.631706953048706
}
] |
mradermacher/John1604-Bible-Xpert-Chinese-version-3.0-i1-GGUF | mradermacher | 2025-12-13T22:25:38Z | 229 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:John1604/John1604-Bible-Xpert-Chinese-version-3.0",
"base_model:quantized:John1604/John1604-Bible-Xpert-Chinese-version-3.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-13T21:04:33Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
null-space/gemma-4-31b-it-abliterated | null-space | 2026-04-06T01:49:56Z | 411 | 10 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"abliterated",
"uncensored",
"gemma",
"multimodal",
"ablation",
"conversational",
"en",
"arxiv:2406.11717",
"base_model:google/gemma-4-31B-it",
"base_model:finetune:google/gemma-4-31B-it",
"license:apache-2.0",
"endpoints_c... | image-text-to-text | 2026-04-03T00:42:30Z | # Gemma-4-31B-IT-Abliterated
An **abliterated** version of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it) in **BF16** precision. Abliteration removes refusal directions from model weights using the technique from [*Refusal in Language Models Is Mediated by a Single Direction*](https://arxiv.org/... | [
{
"start": 135,
"end": 139,
"text": "BF16",
"label": "benchmark name",
"score": 0.6855041980743408
}
] |
HuggingFaceTB/qwen3-1.7b-gsm8k-sft | HuggingFaceTB | 2026-03-25T00:54:04Z | 333 | 2 | null | [
"safetensors",
"gguf",
"qwen3",
"math",
"gsm8k",
"fine-tuned",
"chain-of-thought",
"reasoning",
"text-generation",
"conversational",
"en",
"dataset:openai/gsm8k",
"dataset:meta-math/MetaMathQA",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"license:apache-2.0",... | text-generation | 2026-03-25T00:40:49Z | # Qwen3-1.7B Fine-tuned for GSM8K Math Reasoning
This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) optimized for mathematical reasoning on the GSM8K benchmark.
## Performance
| Benchmark | Accuracy | Notes |
|-----------|----------|-------|
| **GSM8K** | **77.2%** | Grad... | [
{
"start": 2,
"end": 12,
"text": "Qwen3-1.7B",
"label": "benchmark name",
"score": 0.7867457866668701
},
{
"start": 94,
"end": 104,
"text": "Qwen3-1.7B",
"label": "benchmark name",
"score": 0.6406808495521545
},
{
"start": 134,
"end": 144,
"text": "Qwen3-1... |
LiquidAI/LFM2-1.2B-RAG | LiquidAI | 2026-03-30T14:48:58Z | 422 | 114 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"edge",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2-1.2B",
"base_model:finetune:LiquidAI/LFM2-1.2B",
"license:other",
"endpoints_compatible",
... | text-generation | 2025-09-03T17:30:27Z | <center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
</div>
<... | [] |
mradermacher/Esperpento-1B-i1-GGUF | mradermacher | 2026-02-11T06:17:55Z | 112 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Novaciano/Esperpento-1B",
"base_model:quantized:Novaciano/Esperpento-1B",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-02-08T06:10:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 465,
"end": 478,
"text": "Esperpento-1B",
"label": "benchmark name",
"score": 0.6590757369995117
},
{
"start": 615,
"end": 636,
"text": "Esperpento-1B-i1-GGUF",
"label": "benchmark name",
"score": 0.7667747139930725
},
{
"start": 710,
"end": 728,
... |
TheBloke/samantha-mistral-7B-GGUF | TheBloke | 2023-09-30T10:25:22Z | 166 | 14 | transformers | [
"transformers",
"gguf",
"mistral",
"base_model:QuixiAI/samantha-mistral-7b",
"base_model:quantized:QuixiAI/samantha-mistral-7b",
"license:apache-2.0",
"region:us"
] | null | 2023-09-30T09:58:34Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b | ContextualAI | 2025-12-22T16:05:03Z | 987 | 16 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-ranking",
"license:cc-by-nc-sa-4.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-ranking | 2025-08-19T21:11:28Z | <div align="center">
# Contextual AI Reranker v2 6B
<img src="Contextual_AI_Brand_Mark_Dark.png" width="10%" alt="Contextual_AI"/>
[](https://contextual.ai/blog/rerank-v2)
[![Hugging Face Collection](https://img.shields.io/badge/🤗%20Huggin... | [
{
"start": 695,
"end": 699,
"text": "BEIR",
"label": "evaluation metric",
"score": 0.6799788475036621
}
] |
BAAI/Infinity-Instruct-7M-Gen-Llama3_1-70B | BAAI | 2024-08-11T09:33:05Z | 220 | 20 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"dataset:BAAI/Infinity-Instruct",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-07-25T05:04:52Z | # Infinity Instruct
<p align="center">
<img src="fig/Bk3NbjnJko51MTx1ZCScT2sqnGg.png" width="300">
</p>
<p align="center">
<em>Beijing Academy of Artificial Intelligence (BAAI)</em><br/>
<em>[Paper][Code][🤗] (would be released soon)</em>
</p>
Infinity-Instruct-7M-Gen-Llama3.1-70B is an opensource supervised instruct... | [] |
wsbagnsv1/ltxv-13b-0.9.7-dev-GGUF | wsbagnsv1 | 2025-05-12T12:20:55Z | 1,100 | 76 | gguf | [
"gguf",
"ltx-video",
"text-to-video",
"image-to-video",
"en",
"base_model:Lightricks/LTX-Video",
"base_model:quantized:Lightricks/LTX-Video",
"license:other",
"region:us"
] | image-to-video | 2025-05-06T23:10:27Z | This is a direct GGUF conversion of the 13b-0.9.7-dev variant from [Lightricks/LTX-Video](https://huggingface.co/Lightricks/LTX-Video).
The model files can be used in [ComfyUI](https://github.com/comfyanonymous/ComfyUI/) with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place the required mo... | [] |
facebook/xglm-4.5B | facebook | 2023-09-07T15:10:11Z | 1,191 | 21 | transformers | [
"transformers",
"pytorch",
"safetensors",
"xglm",
"text-generation",
"multilingual",
"en",
"ru",
"zh",
"de",
"es",
"fr",
"ja",
"it",
"pt",
"el",
"ko",
"fi",
"id",
"tr",
"ar",
"vi",
"th",
"bg",
"ca",
"hi",
"et",
"bn",
"ta",
"ur",
"sw",
"te",
"eu",
"my... | text-generation | 2022-03-02T23:29:05Z | # XGLM-4.5B
XGLM-4.5B is a multilingual autoregressive language model (with 4.5 billion parameters) trained on a balanced corpus of a diverse set of 134 languages. It was introduced in the paper [Few-shot Learning with Multilingual Language Models](https://arxiv.org/abs/2112.10668) by Xi Victoria Lin\*, Todor Mihaylov... | [] |
MiaoshouAI/Florence-2-base-PromptGen-v1.5 | MiaoshouAI | 2024-10-09T05:04:26Z | 1,434 | 102 | null | [
"safetensors",
"florence2",
"custom_code",
"license:mit",
"region:us"
] | null | 2024-09-04T20:53:27Z | # Florence-2-base-PromptGen v1.5
This is a major version upgrade for PromptGen. In this new version, two new caption instructions are added: \<GENERATE_TAGS\> and \<MIXED_CAPTION\>
You'll also notice significantly improved accuracy with this version, thanks to a new training dataset. It no longer relies on Civitai Data... | [] |
sumgai/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-Q8_0-GGUF | sumgai | 2025-12-30T01:51:32Z | 274 | 7 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"codeqwen",
"moe",
"coding",
"coder",
"qwen2",
"chat",
"qwen",
"qwen-coder",
"Qwen3-30B-A3B-Thinking-2507",
"Qwen3-30B-A3B",
"mixture of experts",
"128 experts",
"8 active experts",
"256k context",
"qwen3",
"fi... | text-generation | 2025-12-30T01:45:55Z | # sumgai/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-Q8_0-GGUF
This model was converted to GGUF format from [`DavidAU/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER`](https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-Thinking-Abliterated... | [] |
facebook/bart-large | facebook | 2022-06-03T10:00:20Z | 192,853 | 200 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"bart",
"feature-extraction",
"en",
"arxiv:1910.13461",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2022-03-02T23:29:05Z | # BART (large-sized model)
BART model pre-trained on English language. It was introduced in the paper [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://arxiv.org/abs/1910.13461) by Lewis et al. and first released in [this repository](https://gi... | [] |
janhq/Jan-v1-4B | janhq | 2025-08-23T15:31:00Z | 97,434 | 353 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:finetune:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-08-08T05:07:41Z | # Jan-v1: Advanced Agentic Language Model
[](https://github.com/menloresearch/deep-research)
[](https://opensource.org/licenses/Apache-2.0)
[![Jan App](https://img.shields.io/b... | [] |
ibm-granite/granite-embedding-reranker-english-r2 | ibm-granite | 2025-11-06T15:57:11Z | 2,453 | 23 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"text-classification",
"granite",
"transformers",
"embeddings",
"mteb",
"text-embeddings-inference",
"text-ranking",
"en",
"arxiv:2508.21085",
"base_model:ibm-granite/granite-embedding-english-r2",
"base_model:finetune:ibm-granite/grani... | text-ranking | 2025-08-04T17:17:12Z | # granite-embedding-reranker-english-r2
<!-- Provide a quick summary of what the model is/does. -->
**Model Summary:** _granite-embedding-reranker-english-r2_ is a 149M parameter dense cross-encoder model from the Granite Embeddings collection that can be used to generate high quality text embeddings. This model produ... | [
{
"start": 1074,
"end": 1078,
"text": "BEIR",
"label": "benchmark name",
"score": 0.7531554102897644
},
{
"start": 1080,
"end": 1086,
"text": "MIRACL",
"label": "benchmark name",
"score": 0.7840538024902344
},
{
"start": 1122,
"end": 1126,
"text": "MLDR",
... |
mradermacher/Starling-LM-alpha-8x7B-MoE-GGUF | mradermacher | 2024-05-06T06:11:42Z | 152 | 1 | transformers | [
"transformers",
"gguf",
"reward model",
"RLHF",
"RLAIF",
"moe",
"en",
"dataset:berkeley-nest/Nectar",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-03-16T21:27:58Z | ## About
static quants of https://huggingface.co/perlthoughts/Starling-LM-alpha-8x7B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening ... | [] |
tlennon-ie/qwen-edit-skin | tlennon-ie | 2025-11-20T12:32:49Z | 18,969 | 173 | diffusers | [
"diffusers",
"lora",
"template:diffusion-lora",
"image-to-image",
"qwen",
"en",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:adapter:Qwen/Qwen-Image-Edit-2509",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-11-03T11:25:34Z | # Qwen-Edit-Skin
<Gallery />
## Model description
EDIT- Version 1.1 uploaded with better convergence, less artifacts and more room in strengths to play with. See ["Full comparision" examples in the image folder here](https://huggingface.co/tlennon-ie/qwen-edit-skin/tree/main/images).
##
Finetuned LoRA for Enhan... | [] |
mradermacher/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3-GGUF | mradermacher | 2026-02-25T00:18:55Z | 184 | 2 | transformers | [
"transformers",
"gguf",
"korean",
"self-driving",
"legal",
"qlora",
"fine-tuned",
"qwen3",
"rag",
"experimental",
"ko",
"base_model:bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3",
"base_model:quantized:bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3",
"license:apache-2.0",
... | null | 2026-02-23T00:52:50Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 363,
"end": 405,
"text": "Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3",
"label": "benchmark name",
"score": 0.614256739616394
},
{
"start": 542,
"end": 589,
"text": "Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3-GGUF",
"label": "benchmark name",
"score": 0.72062659... |
google/videoprism-lvt-base-f16r288 | google | 2025-07-29T20:34:02Z | 15,344 | 12 | videoprism | [
"videoprism",
"video-classification",
"video-embedding",
"arxiv:2402.13217",
"arxiv:2205.01917",
"arxiv:2103.15691",
"arxiv:2007.14937",
"arxiv:2106.02636",
"arxiv:2204.00679",
"arxiv:2307.06942",
"license:apache-2.0",
"region:us"
] | video-classification | 2025-07-16T00:49:56Z | # VideoPrism Model Card
**Paper**: https://huggingface.co/papers/2402.13217
**arXiv**: https://arxiv.org/pdf/2402.13217
**GitHub**: https://github.com/google-deepmind/videoprism
**Blog**: https://research.google/blog/videoprism-a-foundational-visual-encoder-for-video-understanding/
VideoPrism is a foundational vid... | [] |
AIRI-Institute/moderngena-base | AIRI-Institute | 2026-04-20T18:56:03Z | 133 | 3 | null | [
"pytorch",
"safetensors",
"modernbert",
"dna",
"genomics",
"multispecies",
"masked-lm",
"bert",
"genomics-foundation-model",
"region:us"
] | null | 2026-04-17T13:47:25Z | # ModernGENA base
ModernGENA is a DNA foundation model based on **ModernBERT** (a modernized BERT-style encoder architecture) adapted for genomic sequence modeling.
**ModernGENA base** is the 377M-parameter version introduced in the paper *Back to BERT in 2026: ModernGENA as a Strong, Efficient Baseline for DNA Found... | [
{
"start": 971,
"end": 1003,
"text": "Nucleotide Transformer benchmark",
"label": "benchmark name",
"score": 0.8716292381286621
}
] |
typhoon-ai/llama3.1-typhoon2-audio-8b-instruct | typhoon-ai | 2025-08-26T16:13:45Z | 2,418 | 13 | transformers | [
"transformers",
"pytorch",
"typhoon2audio",
"feature-extraction",
"text-generation",
"custom_code",
"th",
"en",
"arxiv:2412.13702",
"license:llama3.1",
"region:us"
] | text-generation | 2024-12-13T07:55:09Z | # Typhoon2-Audio
<div align="center">
<img src="https://storage.googleapis.com/typhoon-public/assets/typhoon2-audio/typhoon2_audio.png" alt="Typhoon2-Audio" width="20%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</div>
**Typhoon2-Audio** is an end-to-end speech-to-speech model architecture capab... | [] |
Mira190/Euler-Legal-Embedding-V1 | Mira190 | 2025-12-02T10:03:38Z | 266 | 9 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"mteb",
"transformers",
"qwen",
"feature-extraction",
"text-classification",
"text-clustering",
"text-retrieval",
"text-reranking",
"text-pair-classification",
"text-multilabel-classification",
"text-bitext-mining",
"e... | text-classification | 2025-10-09T22:37:34Z | <h1 align="center">Euler-Legal-Embedding-V1</h1>
<p align="center">
<a href="https://huggingface.co/Mira190/Euler-Legal-Embedding-V1">
<img src="https://img.shields.io/badge/%F0%9F%A4%97_HuggingFace-Model-ffbd45.svg" alt="HuggingFace">
</a>
</p>
## Short Description
Euler-Legal-Embedding-V1 is a specialized em... | [
{
"start": 526,
"end": 540,
"text": "MTEB benchmark",
"label": "evaluation metric",
"score": 0.7915792465209961
}
] |
bytedance-research/MammothModa2-Preview | bytedance-research | 2025-10-14T08:43:15Z | 201 | 17 | null | [
"safetensors",
"mammothmoda2",
"region:us"
] | null | 2025-09-30T09:29:30Z | <div align="center">
# MammothModa2: Jointly Optimized Autoregressive-Diffusion Models for Unified Multimodal Understanding and Generation
<img src='./doc/logo.png' alt="MammothModa Logo" width="100" style="max-width: 100px; height: auto;">
[](https://g... | [] |
mradermacher/Darkstar-12B-i1-GGUF | mradermacher | 2025-12-08T14:46:22Z | 136 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Retreatcost/Darkstar-12B",
"base_model:quantized:Retreatcost/Darkstar-12B",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-10-28T08:13:46Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 467,
"end": 479,
"text": "Darkstar-12B",
"label": "benchmark name",
"score": 0.6386911869049072
},
{
"start": 616,
"end": 636,
"text": "Darkstar-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7565991282463074
},
{
"start": 1188,
"end": 1208,
... |
unsloth/MiniMax-M2.7-GGUF | unsloth | 2026-04-14T16:48:17Z | 36,406 | 100 | null | [
"gguf",
"minimax_m2",
"unsloth",
"text-generation",
"base_model:MiniMaxAI/MiniMax-M2.7",
"base_model:quantized:MiniMaxAI/MiniMax-M2.7",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-11T23:31:02Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">See how to run MiniMax-M2.7 locally - <a href="https://unsloth.ai/docs/models/minimax-m27">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2... | [] |
Flexan/StentorLabs-Stentor-12M-Instruct-GGUF | Flexan | 2026-02-23T11:12:06Z | 215 | 1 | transformers | [
"transformers",
"gguf",
"text-generation",
"llama",
"small-language-model",
"efficient",
"edge-deployment",
"tiny-model",
"12m-parameters",
"safety-tuning",
"instruction-following",
"chat",
"lora",
"peft",
"beavertails",
"dolly",
"en",
"dataset:PKU-Alignment/BeaverTails",
"datase... | text-generation | 2026-02-23T11:11:58Z | # GGUF Files for Stentor-12M-Instruct
These are the GGUF files for [StentorLabs/Stentor-12M-Instruct](https://huggingface.co/StentorLabs/Stentor-12M-Instruct).
## Downloads
| GGUF Link | Quantization | Description |
| ---- | ----- | ----------- |
| [Download](https://huggingface.co/Flexan/StentorLabs-Stentor... | [] |
eternisai/Anonymizer-0.6B | eternisai | 2025-08-28T22:20:29Z | 129 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-27T18:34:49Z | # Model Card for eternisai/Anonymizer-0.6B
SLMs for semantically similar replacement of PII to provide better end-user privacy.
### Model description
The **Anonymizer-0.6B** is a lightweight privacy-preserving language model trained for **surgical anonymization of personal data** before queries leave your device. It... | [] |
mradermacher/LogicConnector-Llama-3.2-3B-GGUF | mradermacher | 2026-04-30T18:25:46Z | 429 | 1 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"en",
"base_model:ConnectorLogic/LogicConnector-Llama-3.2-3B",
"base_model:quantized:ConnectorLogic/LogicConnector-Llama-3.2-3B",
"license:llama3.2",
"endpoints_compatible",
"region:us"
] | null | 2026-04-30T05:12:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 531,
"end": 563,
"text": "LogicConnector-Llama-3.2-3B-GGUF",
"label": "benchmark name",
"score": 0.6344045996665955
}
] |
bezzam/VibeVoice-1.5B | bezzam | 2026-02-16T14:03:53Z | 616 | 1 | transformers | [
"transformers",
"safetensors",
"vibevoice",
"text-generation",
"Podcast",
"text-to-speech",
"en",
"zh",
"arxiv:2508.19205",
"arxiv:2412.08635",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2025-10-28T15:22:44Z | # VibeVoice-1.5B: A Frontier Open-Source Text-to-Speech Model
🚨 _Note (20 Nov 2025): this Transformers-compatible checkpoint is not yet part of a PyPI release. See [Usage](#usage) below for setup and examples._
VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational... | [] |
ZuzeTt/LFM2-VL-3B-heretic-Imatrix-GGUF | ZuzeTt | 2026-02-23T17:55:33Z | 4,237 | 1 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"lfm2-vl",
"edge",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"en",
"ja",
"fr",
"es",
"de",
"it",
"pt",
"ar",
"zh",
"ko",
"base_model:LiquidAI/LFM2-VL-3B",
"base_model:quantized:LiquidAI/LFM2-VL-3B... | image-text-to-text | 2026-01-01T14:06:40Z | Origianl model: https://huggingface.co/pszemraj/LFM2-VL-3B-heretic
# This is a decensored version of [LiquidAI/LFM2-VL-3B](https://huggingface.co/LiquidAI/LFM2-VL-3B), made using [Heretic](https://github.com/p-e-w/heretic) v1.0.1
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_in... | [] |
alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union | alibaba-pai | 2026-02-13T06:32:14Z | 21,891 | 45 | videox_fun | [
"videox_fun",
"license:apache-2.0",
"region:us"
] | null | 2026-01-12T02:03:42Z | # Qwen-Image-2512-Fun-Controlnet-Union
[](https://github.com/aigc-apps/VideoX-Fun)
## Model Card
| Name | Description |
|--|--|
| Qwen-Image-2512-Fun-Controlnet-Union-2602.safetensors | Compared to the previous version of the model, we added Gray contr... | [] |
dicta-il/dictabert-joint | dicta-il | 2026-05-04T08:46:56Z | 2,579 | 5 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"custom_code",
"he",
"arxiv:2403.06970",
"license:cc-by-4.0",
"text-embeddings-inference",
"region:us"
] | feature-extraction | 2024-01-10T15:27:50Z | # DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
State-of-the-art language model for Hebrew, released [here](https://arxiv.org/abs/2403.06970).
This is the fine-tuned model for the joint parsing of the following tasks:
- Prefix Segmentation
- Morphological Disabmgiuation
- Lexicographical Analysis (Lemm... | [] |
mradermacher/Qwen3-30B-A3B-YOYO-V2-Claude-4.6-Opus-High-INSTRUCT-GGUF | mradermacher | 2026-02-18T03:26:46Z | 659 | 4 | transformers | [
"transformers",
"gguf",
"finetune",
"unsloth",
"claude-4.5-opus",
"reasoning",
"thinking",
"distill-fine-tune",
"moe",
"128 experts",
"256k context",
"mixture of experts",
"en",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"base_model:DavidAU/Qwen3-30B-A3B-YOYO-V2-Claude-4.6-Op... | null | 2026-02-15T10:01:40Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Bobi099/Qwen3.5-27B-heretic | Bobi099 | 2026-02-28T23:21:43Z | 160 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:Qwen/Qwen3.5-27B",
"base_model:finetune:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-28T23:21:42Z | # This is a decensored version of [Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with Magnitude-Preserving Orthogonal Ablation (MPOA)
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 37.97 |
| **a... | [
{
"start": 491,
"end": 515,
"text": "mlp.down_proj.max_weight",
"label": "evaluation metric",
"score": 0.6039450168609619
},
{
"start": 531,
"end": 564,
"text": "mlp.down_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6819172501564026
},
{
"st... |
cyankiwi/Qwen3.5-27B-AWQ-BF16-INT4 | cyankiwi | 2026-04-10T19:19:22Z | 53,887 | 44 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-02-24T19:27:02Z | # Qwen3.5-27B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the post-trained mod... | [] |
embedl/gemma-3-1b-it-FlashHead | embedl | 2026-04-15T12:18:55Z | 130 | 3 | null | [
"safetensors",
"gemma3_text",
"text-generation-inference",
"base_model:google/gemma-3-1b-it",
"base_model:finetune:google/gemma-3-1b-it",
"license:other",
"region:us"
] | null | 2025-12-08T22:23:36Z | # gemma-3-1b-it-FlashHead
[](https://github.com/embedl/flash-head)
**Optimized version of gemma-3-1b-it using FlashHead, Embedl’s efficient ... | [
{
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"text": "MMLU-Pro",
"label": "benchmark name",
"score": 0.7262404561042786
},
{
"start": 663,
"end": 672,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.7157400250434875
},
{
"start": 674,
"end": 679,
"text": "GSM8K"... |
microsoft/git-base | microsoft | 2023-04-24T09:52:15Z | 11,886 | 107 | transformers | [
"transformers",
"pytorch",
"safetensors",
"git",
"image-text-to-text",
"vision",
"image-to-text",
"image-captioning",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | 2022-12-06T09:22:35Z | # GIT (GenerativeImage2Text), base-sized
GIT (short for GenerativeImage2Text) model, base-sized version. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in [this repository](https://github.com/micro... | [] |
bartowski/stepfun-ai_Step-3.5-Flash-GGUF | bartowski | 2026-02-08T01:02:17Z | 10,777 | 25 | null | [
"gguf",
"text-generation",
"base_model:stepfun-ai/Step-3.5-Flash",
"base_model:quantized:stepfun-ai/Step-3.5-Flash",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-02-07T00:23:11Z | ## Llamacpp imatrix Quantizations of Step-3.5-Flash by stepfun-ai
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b7966">b7966</a> for quantization.
Original model: https://huggingface.co/stepfun-ai/Step-3.5-Flash
All quants mad... | [] |
mradermacher/KansenSakura-Erosion-RP-12B-heretic-GGUF | mradermacher | 2026-03-12T06:22:26Z | 1,655 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Sorihon/KansenSakura-Erosion-RP-12B-heretic",
"base_model:quantized:Sorihon/KansenSakura-Erosion-RP-12B-heretic",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-12T03:20:29Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Nemotron-9B-OpenCode-i1-GGUF | mradermacher | 2026-04-21T09:35:14Z | 7,206 | 2 | transformers | [
"transformers",
"gguf",
"code",
"instruction-tuned",
"software-engineering",
"agent",
"opencode",
"qwen",
"python",
"en",
"zh",
"base_model:Kassadin88/Nemotron-9B-OpenCode",
"base_model:quantized:Kassadin88/Nemotron-9B-OpenCode",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | 2026-04-12T05:44:28Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 623,
"end": 651,
"text": "Nemotron-9B-OpenCode-i1-GGUF",
"label": "benchmark name",
"score": 0.6926867365837097
},
{
"start": 725,
"end": 750,
"text": "Nemotron-9B-OpenCode-GGUF",
"label": "benchmark name",
"score": 0.6010779738426208
},
{
"start": 872,... |
mradermacher/Llama-3.1-EstLLM-8B-0525-GGUF | mradermacher | 2025-12-22T11:38:03Z | 1,949 | 1 | transformers | [
"transformers",
"gguf",
"en",
"et",
"dataset:HuggingFaceTB/smollm-corpus",
"dataset:HuggingFaceTB/finemath",
"dataset:instruction-pretrain/general-instruction-augmented-corpora",
"base_model:tartuNLP/Llama-3.1-EstLLM-8B-0525",
"base_model:quantized:tartuNLP/Llama-3.1-EstLLM-8B-0525",
"license:llam... | null | 2025-12-21T13:29:48Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
allenai/OLMo-2-1124-13B | allenai | 2025-01-06T19:47:58Z | 8,149 | 69 | null | [
"safetensors",
"olmo2",
"en",
"dataset:allenai/dolmino-mix-1124",
"dataset:allenai/olmo-mix-1124",
"arxiv:2501.00656",
"license:apache-2.0",
"region:us"
] | null | 2024-11-19T05:47:51Z | ## Model Details
<img alt="OLMo Logo" src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/olmo2/olmo.png" width="242px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# Model Card for OLMo 2 13B
We introduce OLMo 2, a new family of 7B and 13B models trained on up to 5T tokens. Thes... | [
{
"start": 443,
"end": 447,
"text": "Meta",
"label": "benchmark name",
"score": 0.7188717126846313
},
{
"start": 452,
"end": 459,
"text": "Mistral",
"label": "benchmark name",
"score": 0.7929750084877014
}
] |
flair/ner-german-large | flair | 2022-08-28T09:08:06Z | 52,370 | 45 | flair | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"de",
"dataset:conll2003",
"arxiv:2011.06993",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ## German NER in Flair (large model)
This is the large 4-class NER model for German that ships with [Flair](https://github.com/flairNLP/flair/).
F1-Score: **92,31** (CoNLL-03 German revised)
Predicts 4 tags:
| **tag** | **meaning** |
|---------------------------------|-----------|
| PER ... | [
{
"start": 147,
"end": 155,
"text": "F1-Score",
"label": "evaluation metric",
"score": 0.7343228459358215
}
] |
liufanfanlff/C3-Context-Cascade-Compression | liufanfanlff | 2025-11-21T02:42:40Z | 590 | 6 | transformers | [
"transformers",
"safetensors",
"C3",
"feature-extraction",
"text-generation",
"custom_code",
"arxiv:2511.15244",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-11-17T03:15:12Z | ### <a href="https://huggingface.co/papers/2511.15244">Context Cascade Compression: Exploring the Upper Limits of Text Compression</a></h3>
[🌟GitHub](https://github.com/liufanfanlff/C3-Context-Cascade-Compression) | [📜Paper](https://arxiv.org/abs/2511.15244)
[Fanfan Liu](https://scholar.google.com/citations?user... | [] |
tabularisai/multilingual-sentiment-analysis | tabularisai | 2026-04-14T12:25:47Z | 703,419 | 363 | transformers | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"sentiment",
"synthetic data",
"multi-class",
"social-media-analysis",
"customer-feedback",
"product-reviews",
"brand-monitoring",
"multilingual",
"🇪🇺",
"region:eu",
"synthetic",
"en",
"zh",... | text-classification | 2024-12-07T17:56:18Z | > [!TIP]
> If you wish to use this model for commercial purposes, please obtain a license by contacting: info@tabularis.ai
# 🚀 Multilingual Sentiment Classification Model (23 Languages)
<!-- TRY IT HERE: `coming soon`
-->
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.p... | [
{
"start": 578,
"end": 591,
"text": "ModernFinBERT",
"label": "benchmark name",
"score": 0.7582259178161621
},
{
"start": 1031,
"end": 1044,
"text": "ModernFinBERT",
"label": "benchmark name",
"score": 0.6531469225883484
}
] |
microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 | microsoft | 2025-01-14T18:29:54Z | 721,752 | 392 | open_clip | [
"open_clip",
"clip",
"biology",
"medical",
"zero-shot-image-classification",
"en",
"license:mit",
"region:us"
] | zero-shot-image-classification | 2023-04-05T19:57:59Z | # BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
[BiomedCLIP](https://aka.ms/biomedclip-paper) is a biomedical vision-language foundation model that is pretrained on [PMC-15M](https://github.com/microsoft/BiomedCLIP_data_pipeline), a dataset of 15 million figure-caption pairs extracted from biomedical research article... | [] |
Qwen/Qwen-72B | Qwen | 2024-10-09T05:59:26Z | 1,856 | 362 | transformers | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2309.16609",
"license:other",
"region:us"
] | text-generation | 2023-11-26T16:16:31Z | # Qwen-72B
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg" width="400"/>
<p>
<br>
<p align="center">
🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/organization/qwen">ModelScope</a>   | &... | [] |
mradermacher/Cydonia-24B-v4.3-heretic-GGUF | mradermacher | 2025-12-22T03:17:27Z | 965 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:coder3101/Cydonia-24B-v4.3-heretic",
"base_model:quantized:coder3101/Cydonia-24B-v4.3-heretic",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-21T14:10:13Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 523,
"end": 552,
"text": "Cydonia-24B-v4.3-heretic-GGUF",
"label": "benchmark name",
"score": 0.628269612789154
}
] |
hishab/titulm-llama-3.2-1b-v1.0 | hishab | 2024-10-24T06:58:09Z | 170 | 1 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"llama",
"text-generation",
"hishab",
"titulm",
"pytorch",
"llama-3",
"llama-factory",
"conversational",
"bn",
"base_model:meta-llama/Llama-3.2-1B",
"base_model:finetune:meta-llama/Llama-3.2-1B",
"license:llama3.2",
"text-generation-inferen... | text-generation | 2024-10-03T06:05:45Z | ## Model Information
This model is a continually pre-trained version of the [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) architecture, fine-tuned on extensive Bangla datasets. The primary goal of the continual pretraining was to enhance the model's ability to generate high-quality Bangla t... | [
{
"start": 762,
"end": 778,
"text": "Knowledge cutoff",
"label": "evaluation metric",
"score": 0.7659984230995178
}
] |
Simonc-44/Cygnis-Alpha-2-8B-v0.3-GGUF | Simonc-44 | 2026-03-22T18:30:15Z | 417 | 2 | transformers | [
"transformers",
"gguf",
"text-generation",
"llama-3.1",
"reasoning",
"cot",
"8b",
"cygnis-alpha",
"ollama",
"en",
"fr",
"dataset:Simonc-44/Cygnis-Alpha2-Instruct-Mix",
"dataset:Simonc-44/Cygnis-Identity-SFT",
"base_model:Simonc-44/Cygnis-Alpha-2-8B-v0.3",
"base_model:quantized:Simonc-44/... | text-generation | 2026-03-22T09:48:15Z | <div align="center" style="background-color: #050505; color: #e2e8f0; padding: 80px 40px; border-radius: 24px; border: 1px solid #1e1e20; font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; max-width: 900px; margin: auto; box-shadow: 0 40px 100px rgba(0,0,0,0.8);">
<div style="ma... | [] |
mradermacher/Qwen3.5-9B-OmniCoder-Claude-Polaris-i1-GGUF | mradermacher | 2026-04-18T16:30:12Z | 6,713 | 3 | transformers | [
"transformers",
"gguf",
"unsloth",
"fine tune",
"heretic",
"abliterated",
"uncensored",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | null | 2026-03-15T09:44:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 638,
"end": 681,
"text": "Qwen3.5-9B-OmniCoder-Claude-Polaris-i1-GGUF",
"label": "benchmark name",
"score": 0.6225951910018921
}
] |
ACE-Step/Ace-Step1.5 | ACE-Step | 2026-02-03T11:37:37Z | 34,730 | 659 | transformers | [
"transformers",
"diffusers",
"safetensors",
"acestep",
"feature-extraction",
"audio",
"music",
"text2music",
"text-to-audio",
"custom_code",
"arxiv:2602.00744",
"license:mit",
"region:us"
] | text-to-audio | 2026-01-23T09:59:48Z | <h1 align="center">ACE-Step 1.5</h1>
<h1 align="center">Pushing the Boundaries of Open-Source Music Generation</h1>
<p align="center">
<a href="https://ace-step.github.io/ace-step-v1.5.github.io/">Project</a> |
<a href="https://huggingface.co/collections/ACE-Step/ace-step-15">Hugging Face</a> |
<a href="htt... | [] |
OpenGVLab/InternVL3_5-2B-Flash | OpenGVLab | 2025-09-28T06:41:13Z | 321 | 5 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-09-28T05:44:53Z | # InternVL3_5-2B-Flash
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingface.... | [] |
mradermacher/Qwen3-30B-A3B-Gemini-Pro-High-Reasoning-2507-ABLITERATED-UNCENSORED-i1-GGUF | mradermacher | 2026-02-16T17:19:25Z | 9,983 | 8 | transformers | [
"transformers",
"gguf",
"finetune",
"unsloth",
"abliterated",
"uncensored",
"specialized post tuning",
"claude-4.5-opus",
"reasoning",
"thinking",
"distill-fine-tune",
"moe",
"128 experts",
"256k context",
"mixture of experts",
"en",
"dataset:TeichAI/gemini-3-pro-preview-high-reasoni... | null | 2026-02-16T00:58:50Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
Enxin/VideoNSA | Enxin | 2025-10-08T02:19:10Z | 114 | 2 | null | [
"safetensors",
"qwen2_5_vl",
"video-understanding",
"sparse-attention",
"vision-language",
"qwen2.5-vl",
"multimodal",
"video-text-to-text",
"en",
"arxiv:2510.02295",
"license:apache-2.0",
"region:us"
] | video-text-to-text | 2025-10-01T23:10:48Z | # VideoNSA: Native Sparse Attention for Video Understanding
<div align="center">
<img src="VideoNSA.png" alt="VideoNSA Overview" width="100%">
</div>
## Model Description
VideoNSA is a learnable, hardware-aware sparse-attention framework built on Qwen2.5-VL-7B for efficient long video understanding. It processes u... | [
{
"start": 2,
"end": 10,
"text": "VideoNSA",
"label": "benchmark name",
"score": 0.9540085792541504
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{
"start": 94,
"end": 102,
"text": "VideoNSA",
"label": "benchmark name",
"score": 0.8338951468467712
},
{
"start": 113,
"end": 121,
"text": "VideoNSA",
... |
mistralai/Mistral-Small-4-119B-2603 | mistralai | 2026-04-27T14:13:57Z | 52,243 | 366 | null | [
"safetensors",
"mistral3",
"vLLM",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"license:apache-2.0",
"eval-results",
"fp8",
"region:us"
] | null | 2026-01-23T13:14:14Z | # Mistral Small 4 119B A6B
Mistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—**Instruct**, **Reasoning** (previously called Magistral), and **Devstral**—into a single, unified model.
Wit... | [] |
AscendKernelGen/KernelGen-LM-32B-RL | AscendKernelGen | 2026-04-28T09:46:20Z | 814 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"code-generation",
"npu",
"ascend",
"chain-of-thought",
"conversational",
"en",
"zh",
"dataset:AscendKernelGen/Ascend-COT-v2-packed",
"arxiv:2601.07160",
"base_model:Qwen/Qwen3-32B",
"base_model:finetune:Qwen/Qwen3-32B",
"licen... | text-generation | 2026-01-23T10:15:48Z | # AscendKernelGen/KernelGen-LM-32B-RL
[](https://arxiv.org/abs/2601.07160)
[](https://huggingface.co/papers/2601.07160)... | [
{
"start": 840,
"end": 847,
"text": "Pass@10",
"label": "evaluation metric",
"score": 0.7147312164306641
},
{
"start": 1128,
"end": 1142,
"text": "NPUKernelBench",
"label": "benchmark name",
"score": 0.7388429641723633
}
] |
inclusionAI/Ling-2.6-1T | inclusionAI | 2026-05-03T15:01:59Z | 642 | 110 | transformers | [
"transformers",
"safetensors",
"bailing_hybrid",
"text-generation",
"conversational",
"custom_code",
"license:mit",
"eval-results",
"compressed-tensors",
"region:us"
] | text-generation | 2026-04-29T03:19:36Z | <p align="center">
<img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width="100"/>
</p>
<p align="center">🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organization/inclusionAI">Mod... | [] |
mradermacher/Mistral-Nemo-Instruct-2407-12B-Thinking-M-Claude-Opus-High-Reasoning-GGUF | mradermacher | 2026-01-07T06:20:52Z | 1,468 | 1 | transformers | [
"transformers",
"gguf",
"finetune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prose",
"... | null | 2026-01-07T04:59:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
google/siglip-base-patch16-256-multilingual | google | 2024-09-26T08:21:48Z | 28,314 | 53 | transformers | [
"transformers",
"safetensors",
"siglip",
"zero-shot-image-classification",
"vision",
"arxiv:2303.15343",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2024-01-08T13:24:51Z | # SigLIP (base-sized model, multilingual)
SigLIP model pre-trained on WebLi at resolution 256x256. It was introduced in the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Zhai et al. and first released in [this repository](https://github.com/google-research/big_vision).
Dis... | [] |
Johnson8187/Chinese-Emotion | Johnson8187 | 2024-12-18T05:02:36Z | 1,304 | 32 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"emotion",
"zh",
"dataset:Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset",
"base_model:joeddav/xlm-roberta-large-xnli",
"base_model:finetune:joeddav/xlm-roberta-large-xnli",
"license:mit",
"text-embeddings-inference",
"en... | text-classification | 2024-12-09T07:32:18Z | # chinese-text-emotion-classifier
Here's a model is fine-tuned based on another base model and features a smaller parameter size. For users who require faster inference speed, this model is a suitable choice.The actual performance test results are also not much different.
Model：[Chinese-Emotion-Small](https://huggingf... | [] |
mradermacher/Mistral-Nemo-Instruct-2407-absolute-heresy-GGUF | mradermacher | 2026-02-05T10:08:13Z | 274 | 1 | transformers | [
"transformers",
"gguf",
"mistral-common",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"base_model:MuXodious/Mistral-Nemo-Instruct-2407-absolute-heresy",
"base_model:quantized:MuXodious/Mistral-Nemo-Instruct-2407-absolu... | null | 2026-02-04T21:58:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Goekdeniz-Guelmez/JOSIE-1.1-4B-Instruct | Goekdeniz-Guelmez | 2026-03-10T08:39:28Z | 237 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"chat",
"conversational",
"multilingual",
"en",
"es",
"fr",
"pt",
"it",
"ar",
"ko",
"id",
"ru",
"vi",
"de",
"th",
"ja",
"zh",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2... | text-generation | 2026-03-08T16:38:38Z | # JOSIE-1.1-4B-Instruct
## Model Card for JOSIE-1.1-4B-Instruct
JOSIE-1.1-4B-Instruct is a full-weight fine-tuned instruction-following model built on Qwen3-4B-Instruct, optimized for natural conversational interactions, problem-solving, and everyday assistance with a human-like personality.
<p align="center"> <img ... | [] |
XeyonAI/Mistral-Helcyon-Grok-12b-v3.0-GGUF | XeyonAI | 2026-04-08T17:57:00Z | 3,437 | 3 | null | [
"gguf",
"companion",
"assistant",
"conversational",
"roleplay",
"adventure",
"writing",
"long-context",
"en",
"base_model:mistralai/Mistral-Nemo-Instruct-2407",
"base_model:quantized:mistralai/Mistral-Nemo-Instruct-2407",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-03-28T15:59:29Z | # Helcyon-Grok-12B — Grok Tone, Local and Unleashed
**Model Name:** `helcyon-grok-v3.0-12b-GGUF`
**Version:** 3.0
**Owner:** HardWire
**Base:** Mistral Nemo 12B (full weight retrained — clean base, no bleed)
**Quantized GGUFs:** IQ4_XS, Q4_K_M, Q5_K_M, Q6_K, F16
**Tags:** local-llm, conversational, companion... | [] |
Intel/Step-3.5-Flash-int4-mixed-AutoRound | Intel | 2026-04-14T09:10:00Z | 1,537 | 8 | null | [
"safetensors",
"step3p5",
"text-generation",
"conversational",
"custom_code",
"arxiv:2309.05516",
"base_model:stepfun-ai/Step-3.5-Flash",
"base_model:quantized:stepfun-ai/Step-3.5-Flash",
"4-bit",
"auto-round",
"region:us"
] | text-generation | 2026-03-12T04:17:14Z | ## Model Details
This model is a mixed int4 model with group_size 128 and symmetric quantization of [stepfun-ai/Step-3.5-Flash](https://huggingface.co/stepfun-ai/Step-3.5-Flash) generated by [intel/auto-round](https://github.com/intel/auto-round) with RTN mode. Please follow the license of the original model.
## How ... | [] |
HeartMuLa/HeartMuLa-oss-3B | HeartMuLa | 2026-01-19T17:10:56Z | 1,656 | 253 | null | [
"safetensors",
"heartmula",
"music",
"art",
"text-to-audio",
"zh",
"en",
"ja",
"ko",
"es",
"arxiv:2601.10547",
"license:apache-2.0",
"region:us"
] | text-to-audio | 2026-01-14T06:32:37Z | ## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [HeartMuLa Team]
- **License:** [Apache 2.0]
### Model Sources
<!-- Provide the basic links for the model. -->
- **Github Repo:** https://github.com/HeartMuLa/heartlib
- **Paper:** https://arxiv.org... | [] |
gabriellarson/Hermes-4-14B-GGUF | gabriellarson | 2025-09-02T20:39:09Z | 634 | 7 | transformers | [
"transformers",
"gguf",
"Qwen-3-14B",
"instruct",
"finetune",
"reasoning",
"hybrid-mode",
"chatml",
"function calling",
"tool use",
"json mode",
"structured outputs",
"atropos",
"dataforge",
"long context",
"roleplaying",
"chat",
"en",
"arxiv:2508.18255",
"base_model:NousResear... | null | 2025-09-02T19:28:17Z | # Hermes 4 — Qwen 3 14B
## Model Description
Hermes 4 14B is a frontier, hybrid-mode **reasoning** model based on Qwen 3 14B by Nous Research that is aligned to **you**.
Read the Hermes 4 technic... | [
{
"start": 1749,
"end": 1761,
"text": "RefusalBench",
"label": "benchmark name",
"score": 0.7891108989715576
}
] |
sophosympatheia/Midnight-Miqu-70B-v1.5 | sophosympatheia | 2024-12-10T16:50:16Z | 11,066 | 250 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2311.03099",
"base_model:migtissera/Tess-70B-v1.6",
"base_model:merge:migtissera/Tess-70B-v1.6",
"base_model:sophosympatheia/Midnight-Miqu-70B-v1.0",
"base_model:merge:sophosympatheia/Midni... | text-generation | 2024-03-11T05:14:04Z | <div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/Tn9MBg6.png" alt="MidnightMiqu" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
### Overview
Looking for the 103B version? You can get it from [FluffyKaeloky/Midnight-Miqu-103B-v1.5](https://hug... | [
{
"start": 718,
"end": 733,
"text": "EQ Bench scores",
"label": "evaluation metric",
"score": 0.8110066652297974
},
{
"start": 767,
"end": 800,
"text": "post-EXL2 quant perplexity scores",
"label": "evaluation metric",
"score": 0.8363149166107178
}
] |
microsoft/phi-4 | microsoft | 2025-11-24T16:57:37Z | 889,786 | 2,222 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"phi",
"nlp",
"math",
"code",
"chat",
"conversational",
"en",
"arxiv:2412.08905",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-12-11T11:47:29Z | # Phi-4 Model Card
[Phi-4 Technical Report](https://arxiv.org/pdf/2412.08905)
## Model Summary
| | |
|-------------------------|-------------------------------------------------------------------------------|... | [] |
Lambent/Zora-9B-v0 | Lambent | 2026-03-09T13:14:57Z | 252 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"mergekit",
"merge",
"conversational",
"base_model:EganAI/qwen3.5-9b-terminal-merge",
"base_model:merge:EganAI/qwen3.5-9b-terminal-merge",
"base_model:Qwen/Qwen3.5-9B-Base",
"base_model:merge:Qwen/Qwen3.5-9B-Base",
"license:apache... | image-text-to-text | 2026-03-09T02:38:10Z | 
She has a tendency to like to suggest a minor edit to her self-portrait. This was iterated a few times. ;)
The name "Zora" was meaningful to both the base model (who independently suggested it as a name ... | [
{
"start": 1081,
"end": 1093,
"text": "Karcher mean",
"label": "evaluation metric",
"score": 0.8417668342590332
},
{
"start": 1365,
"end": 1377,
"text": "Karcher Mean",
"label": "evaluation metric",
"score": 0.7588950991630554
}
] |
AlicanKiraz0/Qwen3-14B-BaronLLM-v2-Q4_0-GGUF | AlicanKiraz0 | 2025-08-22T22:45:24Z | 446 | 9 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset",
"dataset:Trendyol/All-CVE-Chat-MultiTurn-1999-2025-Dataset",
"base_model:Qwen/Qwen3-14B",
"base_model:quantized:Qwen/Qwen3-14B",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2025-08-22T22:43:38Z | <div align="left">
   ![License](https://img.shields.io/badge/License-Apache%202.0-yellow... | [
{
"start": 1008,
"end": 1031,
"text": "CS-Eval Global Rankings",
"label": "benchmark name",
"score": 0.6002946496009827
},
{
"start": 1164,
"end": 1191,
"text": "Comprehensive average score",
"label": "evaluation metric",
"score": 0.7234339118003845
}
] |
nguyenvulebinh/vi-mrc-large | nguyenvulebinh | 2022-03-13T20:53:44Z | 109,835 | 6 | transformers | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"vi",
"vn",
"en",
"dataset:squad",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | question-answering | 2022-03-02T23:29:05Z | ## Model Description
- Language model: [XLM-RoBERTa](https://huggingface.co/transformers/model_doc/xlmroberta.html)
- Fine-tune: [MRCQuestionAnswering](https://github.com/nguyenvulebinh/extractive-qa-mrc)
- Language: Vietnamese, Englsih
- Downstream-task: Extractive QA
- Dataset (combine English and Vietnamese):
- [... | [] |
alexdenton/Qwen3.5-27B-heretic-GGUF | alexdenton | 2026-02-26T03:06:18Z | 1,055 | 2 | gguf | [
"gguf",
"qwen3.5",
"llama-cpp",
"quantized",
"base_model:llmfan46/Qwen3.5-27B-heretic",
"base_model:quantized:llmfan46/Qwen3.5-27B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-26T02:28:43Z | # Qwen3.5-27B-heretic GGUF
GGUF quantizations of [llmfan46/Qwen3.5-27B-heretic](https://huggingface.co/llmfan46/Qwen3.5-27B-heretic).
## Available quantizations
| File | Quant | Size | BPW | Quality |
|------|-------|------|-----|---------|
| `Qwen3.5-27B-heretic-Q8_0.gguf` | Q8_0 | 27 GB | 8.50 | Excellent — near-l... | [] |
mradermacher/UI-Venus-1.5-8B-GGUF | mradermacher | 2026-02-11T11:14:23Z | 117 | 2 | transformers | [
"transformers",
"gguf",
"multimodel",
"gui",
"agent",
"en",
"base_model:inclusionAI/UI-Venus-1.5-8B",
"base_model:quantized:inclusionAI/UI-Venus-1.5-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-11T10:58:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 516,
"end": 536,
"text": "UI-Venus-1.5-8B-GGUF",
"label": "benchmark name",
"score": 0.6689990162849426
}
] |
desklib/ai-text-detector-v1.01 | desklib | 2025-02-17T06:11:06Z | 66,652 | 40 | transformers | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"en",
"dataset:liamdugan/raid",
"base_model:microsoft/deberta-v3-large",
"base_model:finetune:microsoft/deberta-v3-large",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-02-16T08:29:42Z | # desklib/ai-text-detector-v1.01
## Overview
This AI-generated text detection model, developed by Desklib, is designed to classify English text as either human-written or AI-generated. It currently leads the [RAID Benchmark for AI Detection](https://raid-bench.xyz/leaderboard?domain=all&decoding=all&repetition=all&at... | [
{
"start": 211,
"end": 242,
"text": "RAID Benchmark for AI Detection",
"label": "benchmark name",
"score": 0.8656535744667053
},
{
"start": 1162,
"end": 1176,
"text": "RAID benchmark",
"label": "benchmark name",
"score": 0.7618902325630188
}
] |
rico03/gemma4-26B-opus-reasoning-GGUF | rico03 | 2026-04-04T17:14:10Z | 197 | 2 | null | [
"gguf",
"gemma4",
"reasoning",
"fine-tuned",
"unsloth",
"lora",
"text-generation",
"en",
"it",
"dataset:Crownelius/Opus-4.6-Reasoning-3300x",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:adapter:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",... | text-generation | 2026-04-04T15:54:59Z | # Gemma 4 26B A4B — Opus 4.6 Reasoning Distillation
Fine-tuned version of [google/gemma-4-26B-A4B-it](https://huggingface.co/google/gemma-4-26B-A4B-it) on high-quality reasoning traces distilled from Claude Opus 4.6.
## Training Details
- **Base model:** google/gemma-4-26B-A4B-it (MoE, 3.8B active params)
- **Datase... | [
{
"start": 456,
"end": 460,
"text": "r=16",
"label": "evaluation metric",
"score": 0.6567077040672302
}
] |
hpcai-tech/Open-Sora-v2 | hpcai-tech | 2025-03-15T10:38:26Z | 837 | 168 | open-sora | [
"open-sora",
"safetensors",
"text-to-video",
"arxiv:2503.09642",
"arxiv:2412.20404",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-03-04T03:46:11Z | ## Open-Sora: Democratizing Efficient Video Production for All
We design and implement **Open-Sora**, an initiative dedicated to **efficiently** producing high-quality video. We hope to make the model,
tools and all details accessible to all. By embracing **open-source** principles,
Open-Sora not only democratizes acc... | [] |
XiaomiMiMo/MiMo-Audio-7B-Instruct | XiaomiMiMo | 2025-09-23T11:28:06Z | 839 | 151 | null | [
"safetensors",
"qwen2",
"Audio-to-Text",
"Text-to-Audio",
"Audio-to-Audio",
"Text-to-Text",
"Audio-Text-to-Text",
"any-to-any",
"license:mit",
"region:us"
] | any-to-any | 2025-09-18T21:28:00Z | <div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture... | [] |
DataManagement-AI/Agentic-Data-1 | DataManagement-AI | 2026-03-22T21:04:38Z | 166 | 1 | null | [
"data-management",
"data-migration",
"sql",
"etl",
"grpo",
"reinforcement-learning",
"oracle-to-postgres",
"db2-to-snowflake",
"data-quality",
"schema-analysis",
"text-generation",
"en",
"dataset:custom",
"license:other",
"model-index",
"region:us"
] | text-generation | 2026-03-22T00:47:19Z | <div align="center">
# 🚀 Agentic Data 1
### The First Specialized Language Model Purpose-Built for Data Operations
**SQL Migration • Schema Analysis • Data Quality • ETL Design • Performance Tuning**
[](https://www.datamanagement.ai/contact-us)
[!... | [] |
breezedeus/pix2text-mfr | breezedeus | 2024-05-05T14:23:13Z | 633,938 | 54 | transformers | [
"transformers",
"onnx",
"vision-encoder-decoder",
"image-text-to-text",
"latex-ocr",
"math-ocr",
"math-formula-recognition",
"mfr",
"pix2text",
"p2t",
"image-to-text",
"doi:10.57967/hf/1833",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | 2024-02-11T16:01:39Z | # Model Card: Pix2Text-MFR
Mathematical Formula Recognition (MFR) model from [Pix2Text (P2T)](https://github.com/breezedeus/Pix2Text).
## Model Details / 模型细节
This MFR model utilizes the [TrOCR](https://huggingface.co/docs/transformers/model_doc/trocr) architecture developed by Microsoft, starting with its initial va... | [] |
shoumenchougou/RWKV7-G1d-1.5B-GGUF | shoumenchougou | 2026-02-12T07:18:25Z | 248 | 1 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-12T05:15:42Z | ## 1️⃣ What are G0 / G1 / G1a2 / G1b / G1c / G1d ?
The fields like G0a / G1a / G1a2 in RWKV model names indicate versions of the training data. In terms of data quality, the ranking is: **G1d > G1c > G1b > G1a2 > G1a > G1 > G0a2 > G0**.
The RWKV7-G1a model is an advanced version of RWKV7-G1 that was further trained ... | [] |
miloK1/Qwen3-Embedding-4B-Q8_0-GGUF | miloK1 | 2026-03-07T14:43:19Z | 152 | 1 | sentence-transformers | [
"sentence-transformers",
"gguf",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"llama-cpp",
"gguf-my-repo",
"base_model:Qwen/Qwen3-Embedding-4B",
"base_model:quantized:Qwen/Qwen3-Embedding-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:... | feature-extraction | 2026-03-07T14:42:57Z | # miloK1/Qwen3-Embedding-4B-Q8_0-GGUF
This model was converted to GGUF format from [`Qwen/Qwen3-Embedding-4B`](https://huggingface.co/Qwen/Qwen3-Embedding-4B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfa... | [] |
nomic-ai/nomic-embed-code | nomic-ai | 2025-03-31T18:41:14Z | 86,531 | 116 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen2",
"sentence-similarity",
"feature-extraction",
"dataset:nomic-ai/cornstack-python-v1",
"dataset:nomic-ai/cornstack-javascript-v1",
"dataset:nomic-ai/cornstack-java-v1",
"dataset:nomic-ai/cornstack-go-v1",
"dataset:nomic-ai/cornstack-php-v1",
"datase... | sentence-similarity | 2025-03-24T15:31:52Z | # Nomic Embed Code: A State-of-the-Art Code Retriever
[Blog](https://www.nomic.ai/blog/posts/introducing-state-of-the-art-nomic-embed-code) | [Technical Report](https://arxiv.org/abs/2412.01007) | [AWS SageMaker](https://aws.amazon.com/marketplace/seller-profile?id=seller-tpqidcj54zawi) | [Atlas Embedding and Unstruct... | [] |
srk0102200/AnimTOON-3B | srk0102200 | 2026-04-10T18:01:45Z | 516 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"animation",
"lottie",
"svg",
"animtoon",
"vector-animation",
"text-to-animation",
"conversational",
"text-generation-inference",
"en",
"dataset:OmniLottie/MMLottie-2M",
"arxiv:2603.02138",
"base_model:Qwen/Qwen2.5-3B-Instruct"... | text-generation | 2026-04-09T06:55:20Z | # AnimTOON-3B (v3): Token-Efficient Vector Animation Generation
**3-4x fewer tokens than OmniLottie (CVPR 2026) for generating Lottie animations. Now with character animation support.**
| | AnimTOON | OmniLottie |
|---|---|---|
| **Tokens (simple)** | **166** | 616 |
| **Tokens (complex)** | **597** | 4095 |
| **VRAM... | [
{
"start": 102,
"end": 111,
"text": "CVPR 2026",
"label": "benchmark name",
"score": 0.9103662371635437
}
] |
unsloth/GLM-OCR | unsloth | 2026-02-03T14:29:16Z | 2,167 | 28 | transformers | [
"transformers",
"safetensors",
"glm_ocr",
"image-text-to-text",
"image-to-text",
"zh",
"en",
"fr",
"es",
"ru",
"de",
"ja",
"ko",
"base_model:zai-org/GLM-OCR",
"base_model:finetune:zai-org/GLM-OCR",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | 2026-02-03T14:20:24Z | # GLM-OCR
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-OCR/refs/heads/main/resources/logo.svg width="40%"/>
</div>
<p align="center">
👋 Join our <a href="https://raw.githubusercontent.com/zai-org/GLM-OCR/refs/heads/main/resources/wechat.jpg" target="_blank">WeChat</a> and <a href="h... | [
{
"start": 1270,
"end": 1287,
"text": "OmniDocBench V1.5",
"label": "benchmark name",
"score": 0.7565928101539612
}
] |
mradermacher/gemma-4-31B-it-abliterated-v2-i1-GGUF | mradermacher | 2026-05-02T00:44:07Z | 20,845 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"gemma4",
"direct-weight-editing",
"en",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-16T21:55:06Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 633,
"end": 670,
"text": "gemma-4-31B-it-abliterated-v2-i1-GGUF",
"label": "benchmark name",
"score": 0.6369114518165588
}
] |
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